客户学科的统计教育研究现状:整个大学的主题和趋势

IF 2.2 Q3 Social Sciences
Aimee Schwab-McCoy
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引用次数: 8

摘要

摘要统计学教育的改革运动使本科生统计学入门课程得到了振兴。然而,许多学生通过在“客户部门”学习统计学课程来满足他们的学位要求,如商业、社会科学和实验室科学,这些课程通常由非统计学家教授。本文介绍了对这些客户学科中现有统计学教学文献的综合研究结果,以了解(1)目前正在教授什么以及如何教授,以及(2)其他部门统计学教师面临的最重要挑战。使用定性轴向编码和定量文本分析对文章进行审查,以确定每个学科文献中的共同研究主题和想法。研究主题、对统计学教学的态度和教学技巧因学科而异。与其他学科的讲师合作可能是改善整个大学统计学教学的可喜一步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The State of Statistics Education Research in Client Disciplines: Themes and Trends Across the University
Abstract The reform movement in statistics education has led to a revitalization of the undergraduate introductory statistics course. However, many students satisfy their degree requirements by taking statistics courses in “client departments” such as business, the social sciences, and the lab sciences, typically taught by non-statisticians. This article presents the findings of a metasynthesis of the existing literature on teaching statistics in these client disciplines to learn (1) what is currently being taught and how, and (2) the most important challenges for statistics teachers in other departments. Articles were reviewed using qualitative axial coding and quantitative text analysis to identify common research themes and ideas in the literature for each discipline. Research themes, attitudes toward statistics instruction, and pedagogical techniques were found to vary from discipline to discipline. Collaboration with instructors in other disciplines may be a welcome step toward improving statistics instruction across the university.
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来源期刊
Journal of Statistics Education
Journal of Statistics Education EDUCATION, SCIENTIFIC DISCIPLINES-
CiteScore
1.20
自引率
0.00%
发文量
0
审稿时长
12 weeks
期刊介绍: The "Datasets and Stories" department of the Journal of Statistics Education provides a forum for exchanging interesting datasets and discussing ways they can be used effectively in teaching statistics. This section of JSE is described fully in the article "Datasets and Stories: Introduction and Guidelines" by Robin H. Lock and Tim Arnold (1993). The Journal of Statistics Education maintains a Data Archive that contains the datasets described in "Datasets and Stories" articles, as well as additional datasets useful to statistics teachers. Lock and Arnold (1993) describe several criteria that will be considered before datasets are placed in the JSE Data Archive.
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